
51 - 200 employees
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
Artificial Intelligence • Enterprise • SaaS
Monte Carlo is a data observability company that provides a comprehensive platform to ensure reliable data and AI delivery. Their services include machine learning-enabled data anomaly detection, incident triaging, and root cause resolution to maintain high data quality. They offer data quality monitoring, testing, and cost optimization tools for cloud infrastructures, enabling companies to deploy and manage data with confidence. Monte Carlo is tailored for verticals such as financial services, healthcare, media, and technology, helping organizations to self-serve, maintain dashboard integrity, and launch reliable data products. Their solutions aim to eliminate data downtime and enhance operational efficiency across enterprise data landscapes.
🕒 May 12
🏄 California, New York, +2 more states – Remote
💵 $140k - $180k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
👷🏻♀️ Engineer
🦅 H1B Visa Sponsor
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51 - 200 employees
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
Artificial Intelligence • Enterprise • SaaS
Monte Carlo is a data observability company that provides a comprehensive platform to ensure reliable data and AI delivery. Their services include machine learning-enabled data anomaly detection, incident triaging, and root cause resolution to maintain high data quality. They offer data quality monitoring, testing, and cost optimization tools for cloud infrastructures, enabling companies to deploy and manage data with confidence. Monte Carlo is tailored for verticals such as financial services, healthcare, media, and technology, helping organizations to self-serve, maintain dashboard integrity, and launch reliable data products. Their solutions aim to eliminate data downtime and enhance operational efficiency across enterprise data landscapes.
• Own onboarding and deployment from day one post-close • Drive customers to consumption • Write production-quality code where needed • Unblock customers fast • Build adoption depth beyond the initial champion • Become the technical advisor customers call before they escalate • Feed deployment and adoption signals back to Product and Engineering • Help define what great post-sale technical execution looks like
• 5+ years building on Snowflake, Databricks, or modern cloud data warehouse environments • Familiarity with dbt, Airflow, Fivetran, Looker, or similar tools is a strong plus • Comfortable writing Python and SQL and working with REST APIs in customer environments • You've owned technical relationships with enterprise customers • You can run a room of data engineers and give a crisp status update to a VP • You've been the person accountable for getting customers from signed contract to live and adopted • You've worked in environments where the playbook didn't exist yet • Familiarity with data quality concepts, pipeline monitoring, or incident response is a strong plus
• Stock Options • Healthcare plans • 401k Retirement Plan • Wellness Stipend • Home Office Stipend • Cell Phone or WIFI reimbursement • Paid Parental Leave • Flexible Time Off • Generous Travel Policy
Apply Now🕒 May 11
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